Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Professional and non-professional drivers' stress reactions and risky driving
Date
2010-01-01
Author
Öz, Bahar
Özkan, Türker
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
219
views
0
downloads
Cite This
The aim of the present study was to investigate stress reactions, speeding, number of penalties and accident involvement among different driver groups (taxi drivers, minibus drivers, heavy vehicle drivers, and non-professional drivers). A total number of 234 male drivers participated in the study. The participants were asked to complete the Driver Stress Inventory (DSI) together with a demographic information form. Five dimensions of the DSI were measured; aggression, dislike of driving, hazard monitoring, fatigue proneness, and thrill-seeking. After controlling the effects of age and annual mileage, the results of the ANCOVAs revealed differences between different driver groups in terms of both risky driving behaviours and stress reactions in traffic. Regression analyses indicated that aggression, dislike of driving, and hazard monitoring dimensions of the DSI were related to accident involvement after controlling for the effects of age, annual mileage and driver group. Dislike of driving and thrill-seeking dimensions of the DSI were related to speeding on in-city roads.
Subject Keywords
Driver behaviours
,
Driver stress
,
Professional drivers
,
Non-professional drivers
,
Risky traffic behaviours
,
Speeding
,
Accident involvement
URI
https://hdl.handle.net/11511/44666
Journal
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
DOI
https://doi.org/10.1016/j.trf.2009.10.001
Collections
Department of Psychology, Article
Suggestions
OpenMETU
Core
Organisational Safety Climate, Professional Driver Behaviours, and Crashes Among a Mixed Group of Professional Drivers
Yılmaz, Şerife; Özkan, Türker; Öz, Bahar (2022-01-01)
The current study compared different driver groups and investigated the relationship between safety climate, driver behaviours, and crashes in a mixed group of professional drivers in Turkey. Two hundred and sixty drivers completed the scales developed explicitly for professional drivers, Transportation Companies’ Climate Scale and Occupational Driver Behaviour Questionnaire, along with the demographic form. Freight drivers scored higher on risky driver behaviours than passenger vehicle drivers. Organisatio...
Multidimensional Traffic Locus of Control Scale (T-LOC): factor structure and relationship to risky driving
Özkan, Türker (2005-02-01)
The aim of the present study was to develop a multidimensional instrument for measuring driver locus of control and to investigate the relationship between driver locus of control, risky driving and negative outcomes. Participants were young male (N = 216) and female (N = 132) drivers who completed a form including the newly developed Multidimensional Traffic Locus of Control Scale (T-LOC), Driver Behaviour Questionnaire (DBQ), and items related to drivers' driving records and demographics. Factor analysis ...
Self-regulatory driving practices of old and young drivers
Azık, Derya; Özkan, Türker; Department of Psychology (2015)
The aim of the current study was to investigate self-regulatory driving practices of old and young drivers by examining underlying factors and possible benefits on drivers’ aberrant behaviors. 258 active male drivers (120 older, 138 younger) participated in the study. Older drivers’ age range was determined as 60-75 and younger drivers’ age range was determined as 21-30. For testing motivator factors of self-regulatory driving practices, Health and Functional Abilities Scale (Molnar et al., 2013), Self-Rate...
Gender and age differences in risk taking behaviour in road traffic crashes
Bener, A.; Dafeeah, E.e.; Verjee, M.; Yousafzai, M.t.; Al-khatib, H.; Nema, N.; Mari, S.; Choi, M.k.; Özkan, Türker; Lajunen, T. (2013-11-20)
Aim: The aim of the present study was to assess drivers' gender and age related differences in the associations between high risk taking behaviour and Road Traffic Crashes in Qatar. Study Design: This is a cross sectional study. Subjects and Methods: A multistage stratified cluster sampling was performed. Of 2400 drivers aged 20 years and above approached, 1824 drivers agreed to participate in the survey (76%). The study was based on a face to face interview with a designed questionnaire including Driver Be...
A new addition to DBQ: Positive Driver Behaviours Scale
Özkan, Türker (Elsevier BV, 2005-7)
The aims of the present study were to develop an instrument for measuring "positive" driver behaviours and to investigate the relationship between these behaviours, DBQ scales (violations and errors), aggression, traffic offences, and accidents. Participants were 306 Turkish drivers (194 male and 112 female) who completed a questionnaire including the newly developed Positive Driver Behaviour Scale, Driver Behaviour Questionnaire (DBQ), Driver Aggression Indicators Scale (DAIS), and items related to drivers...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Öz and T. Özkan, “Professional and non-professional drivers’ stress reactions and risky driving,”
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
, pp. 32–40, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44666.